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» Combined regression and ranking
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KDD
2010
ACM
275views Data Mining» more  KDD 2010»
13 years 8 months ago
Combined regression and ranking
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...
D. Sculley
CORR
2012
Springer
214views Education» more  CORR 2012»
12 years 23 days ago
Stochastic Low-Rank Kernel Learning for Regression
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...
SIGIR
2006
ACM
13 years 11 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
13 years 10 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
ICIP
2010
IEEE
13 years 3 months ago
Palmprint recognition using rank level fusion
This paper investigates a new approach for the personal recognition using rank level combination of multiple palmprint representations. There has been very little effort to study r...
Ajay Kumar, Sumit Shekhar